AWS releases a nine-stage agent evaluation framework based on Bedrock AgentCore
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On October 17, 2026, the AWS Machine Learning Blog published an article introducing the continuous quality evaluation framework built by its SMGS team for a production-grade multi-agent sales system. Based on Amazon Bedrock AgentCore Evaluations, the framework proposes a nine-stage closed-loop process covering the full lifecycle of AI agents: starting with defining quality standards, then through CI/CD regression gates and canary monitoring, to drift detection and feedback optimization, forming a continuous quality assurance loop. This is the only report so far, with no contradictory information.
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- AWS Machine Learning BlogBuilding trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore
The AWS SMGS team shared a continuous quality evaluation framework built for a production-grade multi-agent sales system, centered on a nine-stage closed loop based on Amazon Bedrock AgentCore Evaluations, covering the full lifecycle from defining quality standards, CI/CD regression gates and canary monitoring to drift detection and feedback-driven optimization.
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